Tag: AWS Premier Tier Services Partners

A factory information system (FIS) is a value-creation methodology in the manufacturing space intended to increase, improve, and accelerate manufacturing. Tech Mahindra FIS is designed to help manufacturers embrace Industry 4.0 technologies. Learn how manufacturers can benefit from the transformative potential of Industry 4.0, optimizing their operations and unlocking new opportunities for enhanced productivity, efficiency, and competitiveness in the modern business landscape by using Tech Mahindra FIS.

The AWS Well-Architected Framework helps organizations design, build, and operate systems on AWS cloud environments. Wipro is an AWS Premier Tier Services Partner that has helped multiple SAP customers running their SAP applications on AWS to achieve agility, innovation at high speed, and improved resilience. This post highlights best practices and learnings from Well-Architected Framework Reviews conducted by Wipro using the SAP Lens.

Many enterprises want to streamline identity management by introducing a single identity provider for their multi-cloud approach. In this post, we’ll cover the integration of single sign-on with Azure Active Directory in the context of AWS Control Tower. Learn how Devoteam A Cloud recently led a migration project where it presented a client with two options for integrating SAML 2.0 federation into their AWS Organization using Azure AD.

Organizations realize they will need to understand their carbon footprint across the whole supply chain of their products and services to improve energy efficiency. This post introduces you to the Contino Sustainability Dashboard, a new open-source tool that helps customers visualize and identify opportunities to make decisions that will optimize the efficiency of their resource utilization and the overall carbon footprint within their AWS environment.

When migrating on-premises MLOps to Amazon SageMaker Pipelines, customers often find it challenging to monitor metrics in training scripts and add inference scripts for custom machine learning models. Learn how Mission Cloud implemented an end-to-end SageMaker Pipeline to build the workflow of model development to production, accelerating their customer’s computer vision model production process. SageMaker Pipelines is a workflow orchestration tool for building ML pipelines with CI/CD capabilities.

Energy and process manufacturers are looking for mechanisms to predict asset breakdowns well before actual asset failure. Learn how Accenture Industrial Intelligence Suite addresses these challenges by using a strong data foundation, collecting and processing data from a variety of assets at scale. Accenture Industrial Intelligence Suite employs AI/ML models along with scalable AWS services to mitigate unplanned downtime, optimize asset performance, and improve asset reliability.

Amazon QuickSight is an easy-to-use, cloud-powered analytics business intelligence tool that provides insights and analytics capabilities. Experts from AWS and Quantiphi, an AWS Premier Tier Services Partner, discuss an approach to assist users in leveraging Amazon QuickSight as an enterprise-wide BI tool. The entire process, creation of data sources, datasets, analysis, and eventually dashboards, can be automated using AWS CodePipeline.

Learn how Accenture engineered a cloud-native SaaS learning platform that enables users to succeed in fast-paced environments. Take a look at why quick adoption is essential for an organization to acquire new knowledge, adapt mindsets, and develop new capabilities required to deliver changing business initiatives in a timely way. Accenture’s Future Talent Platform enables general or highly focused training to guide customers, partners, or employees to get the most out of new technologies or programs.

Traditional or click-based chatbots are relatively simple and provide a predetermined set of basic information or responses for users to choose from. Conversational AI bots, on the other hand, are more sophisticated and are best suited for enterprises with enormous data, ensure faster response time, and are available 24/7. Learn how to deploy bots within minutes using Infinity Botzer from LTIMindtree, and how this platform can facilitate comprehensive bot lifecycle management.

Feature engineering is a critical process in which data, produced by data engineers, are consumed and transformed by data scientists to train models and improve their performance. Learn how to accelerate data processing tasks and improve collaboration between data science and data engineering teams by applying MLOps best practices from Data Reply and leveraging tools from AWS. Data Reply is focused on helping clients deliver business value and differentiation through advanced analytics and AI/ML on AWS.